Sr. Staff Software Engineer- Eng

At UKG, the work you do matters.

The code you ship, the decisions you make, and the care you show a customer all add up to real impact.

Today, tens of millions of workers start and end their days with our workforce operating platform.

Helping people get paid, grow in their careers, and shape the future of their industries.

That’s what we do.

We never stop learning.

We never stop challenging the norm.

We push for better, and we celebrate the wins along the way.

Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together.

Because at UKG, your work matters—and so do you.

Senior Staff Data Engineer (P5) Job Title: Senior Staff Data Engineer – FinOps Platform & Reporting Location: ATL / FL (Weston or Sunrise) / MA About the Role As a Senior Staff Data Engineer – FinOps Platform & Reporting, you will lead the design, development, and evolution of UKG’s Unified FinOps Platform.

You will architect and build scalable cloud-native data products that transform cloud cost, billing, usage, telemetry, and operational data into trusted financial insights, forecasting models, and actionable optimization opportunities.

This role is responsible for enabling accurate cloud financial governance across AWS and GCP through automated reporting, allocation, forecasting, and unit economics capabilities.

You will partner closely with FinOps, Engineering, Finance, Data & Analytics, and Product teams to build the data foundation powering UKG’s FinOps 2.0 strategy and AskFinOps AI platform.

Platform Architecture & Engineering Leadership Lead architecture and implementation of the Unified FinOps Data Platform. Design scalable cloud-native data solutions supporting cost allocation, forecasting, optimization, and reporting. Define data standards, governance frameworks, and engineering best practices. Serve as technical lead for FinOps data architecture across AWS and GCP environments. Lead DevOps automation, CI/CD, Infrastructure as Code, and platform reliability initiatives. Enable AI/ML and Generative AI capabilities through scalable data architectures and governed data products. Support AskFinOps AI use cases including forecasting, anomaly detection, and intelligent optimization. Data Products & Pipeline Development Build and maintain enterprise-grade pipelines for: Cloud billing and usage data Cost allocation and chargeback/showback Discount and commitment utilization Application and service telemetry Unit economics and cost-to-serve metrics Develop near real-time ingestion and processing capabilities. Automate reconciliation between cloud provider invoices and financial reporting systems. Forecasting & FinOps Intelligence Enable forecasting and planning models using historical consumption, demand signals, and business growth trends. Partner with FinOps practitioners to improve forecast accuracy and budget governance. Support AI-enabled insights and decision automation capabilities. Reporting & Governance Deliver trusted, SOX-compliant datasets and reporting structures. Establish data quality monitoring, lineage, and observability standards. Create reusable semantic models that serve Finance, Engineering, and Executive stakeholders. Cross-Functional Partnership Collaborate with FinOps, Finance, Product Engineering, Architecture, and Data teams. Mentor engineers and establish engineering standards for the FinOps platform. Drive adoption of data products and self-service reporting capabilities. Required Skills & Experience 8+ years of data engineering experience. 3+ years designing large-scale cloud-native data platforms. Strong expertise in AWS and/or GCP data ecosystems. Advanced SQL and Python development experience.